Communicating scientific findings effectively comes down to a handful of core moves: lead with the result instead of the backstory, strip out jargon, anchor abstract concepts in stories and visuals, and be transparent about what you don’t know. That sounds straightforward, but decades of communication research show that most scientists are trained to do the opposite, burying conclusions at the end of dense, terminology-heavy prose. The gap between how researchers talk to each other and how the public absorbs information is wide, and closing it requires deliberate choices at every stage of the process.
Lead with the Finding
Academic papers and conference talks typically build toward a conclusion. You get the literature review, the methods, the data, and then, finally, the point. Journalism works the other way around: the most important information comes first, followed by supporting details in decreasing order of importance. This structure, sometimes called the inverted pyramid, answers the basic questions up front and lets readers decide how deep they want to go.
When you’re explaining a paper to a non-specialist audience, borrowing from journalism almost always works better than following the academic template. If the study found that a particular drug cut hospital readmissions by a third, say that in the first sentence. Then explain how the researchers tested it, who was in the trial, and what the caveats are. Most people will not wade through three paragraphs of context to reach the payoff. If they never reach it, the communication has failed no matter how carefully you set up the background.
Strip Out the Jargon
Research on how general audiences process scientific writing consistently finds the same thing: technical language is the single biggest barrier to comprehension. When too much specialized terminology appears in a message aimed at the public, the core finding does not get through.
This does not mean you can never use a technical term. Sometimes the precise word matters, especially when the reader might encounter it elsewhere and needs to recognize it. But the discipline is to define it in a clause and move on, not to build a paragraph around explaining it. If a paper discusses “angiogenesis,” you can say “the growth of new blood vessels, called angiogenesis” and keep going. What you want to avoid is stringing together multiple pieces of jargon in a single sentence so that the reader has to decode three unfamiliar words simultaneously.
A useful self-test: read your explanation aloud to someone outside your field. If they ask “what does that mean?” more than once per paragraph, you still have too much jargon in there.
Tell a Story
Narrative has a complicated reputation in science. Researchers sometimes worry that storytelling oversimplifies findings or introduces bias. But the evidence on how non-expert audiences learn is clear: narrative formats increase comprehension, hold attention, and improve recall compared to expository formats alone. Most people already get their science information through mass media, which naturally gravitates toward narrative structure, so meeting audiences where they are means embracing stories rather than fighting them.
Storytelling in this context does not mean inventing characters or dramatizing results. It means structuring an explanation so it has forward momentum: a question or problem that creates tension, a process of discovery, and a resolution. A paper about antibiotic resistance becomes more graspable when framed as a story about bacteria evolving to survive drugs rather than as a list of minimum inhibitory concentrations. Narrative can help audiences reconsider beliefs they’ve held for a long time, partly because a story creates anticipation for how things turn out, which keeps people engaged through information they might otherwise tune out.
The ethical dimension is worth flagging. Because narratives are inherently persuasive, using them to communicate science carries responsibility. A well-told story that misrepresents the strength of the evidence can mislead just as effectively as it can inform. The goal is accurate storytelling, not spin.
Use Metaphors and Visuals
Metaphors are one of the most powerful tools for making abstract science tangible. Research on how students learn biology concepts, for instance, shows that people naturally construct their own metaphorical associations grounded in everyday experience to make sense of complex, abstract information. Rather than always relying on prescribed textbook metaphors, learners gravitate toward comparisons rooted in things they already know and can touch or picture.
This is useful for science communicators because it suggests a strategy: instead of leading with the technical description, lead with a comparison the audience already understands. “DNA is like a recipe book” or “the immune system works like a security team with different specialists” are starting points, not perfect analogies. All metaphors break down eventually, and being upfront about where the comparison stops is part of honest communication.
Visuals play a complementary role. Well-designed data graphics avoid overloading working memory, guide the viewer’s attention to the key pattern, and respect familiar conventions like axes running left to right and bottom to top. A chart that communicates one clear finding beats a chart that tries to show everything at once. The research on visual data communication emphasizes that effective graphics need to be tailored to the audience: what works for a room of statisticians will not work for a newspaper reader or a policymaker scanning a brief.
Know Who You’re Talking To
“The public” is not a single audience. A segmentation study of the Swiss population identified four distinct groups based on their attitudes toward science, their knowledge levels, and how they consume information. One group was deeply interested and well-informed, using many sources intensively. Another group was also interested but more skeptical and cautious about trusting any single source. A third had moderate interest and limited engagement. And a fourth group was largely disengaged from science altogether, encountering it mainly through television if at all.
These groups need different things. The well-informed audience wants depth and nuance; oversimplifying will actually push them away. The skeptical-but-interested audience needs you to acknowledge trade-offs and limitations honestly, because hedging signals respect for their critical thinking rather than weakness in the evidence. The moderately engaged group responds best to clear relevance: why should this matter in their life? And the disengaged group is unlikely to seek out a scientific paper at all, so reaching them means going where they already are, which increasingly means short-form video and social platforms.
Audience segmentation has been applied extensively in climate change communication, where researchers have argued that tailoring messages to subgroups who share similar values and beliefs produces more effective engagement than broadcasting a single message to everyone. The principle generalizes: any time you explain a paper, the first question is not “what did the study find?” but “who am I explaining this to, and what do they already know and care about?”
Be Transparent About Uncertainty
One of the most common mistakes in science communication is papering over what researchers don’t know. The instinct makes sense: if you’re trying to convince someone that a finding matters, admitting uncertainty feels like it undermines the message. But the evidence points the other way. A systematic review of how communicating scientific uncertainty affects public trust found that transparency about limitations generally has a positive effect on trust, while downplaying uncertainty can foster distrust.
Separate research looking specifically at how people respond when numbers are presented with uncertainty found that while people do perceive greater uncertainty when it’s communicated, the decrease in trust is small. This suggests that communicators can afford to be more open about the limits of knowledge without paying a steep credibility cost.
There are real risks, though. When audiences feel personally threatened by a topic, or when the science touches politically sensitive issues, interest groups can exploit acknowledged uncertainty to undermine trust for strategic purposes. In those situations, communicating uncertainty requires more care: not hiding it, but contextualizing it so the audience understands the difference between “we don’t know everything” and “we don’t know anything.” Monitoring how the message is received, especially in digital spaces where misinterpretation can spread quickly, is part of the communicator’s job.
Frame the Finding for Relevance
How you frame a scientific result changes how people respond to it. A meta-analysis of message framing in the context of climate change found that frames emphasizing environmental, economic, or moral dimensions had a meaningful impact on people’s engagement with the issue, while frames built around public health implications or geographic identity had little effect.
The lesson extends beyond climate. When you explain a paper’s findings, the frame you choose acts as a lens that determines what the audience pays attention to. A study on water contamination can be framed as an environmental issue, an economic issue, a justice issue, or a health issue. Each frame highlights different aspects of the same data and resonates with different audiences. Picking the right frame is not about manipulating people; it’s about connecting the finding to something the audience already values.
This is different from spin. Framing is about emphasis and relevance, not distortion. You’re choosing which true aspect of a finding to lead with, not changing what the finding says. A frame that misrepresents the evidence to make it more alarming or more reassuring is not framing; it’s exaggeration.
Watch the Press Release Pipeline
Many people encounter scientific findings not through the papers themselves but through news stories, and those news stories often originate from press releases issued by universities and journals. The problem is that press releases frequently overstate what the research actually found. One study of health-related press releases found that roughly 40% contained exaggerated advice, about a third made exaggerated causal claims, and over a third overstated the relevance of animal research to humans.
The downstream consequences are stark. When press releases contained exaggerated causal language, over 80% of the resulting news stories also contained that exaggeration, compared to about 18% when the press release was accurate. A replication study confirmed the pattern: news articles were over 20 times more likely to exaggerate causal claims when the underlying press release did so.
What’s striking is that exaggeration in press releases did not actually increase whether a study got covered. Accurate press releases generated just as much news pickup as exaggerated ones. This means the exaggeration is unnecessary: it distorts public understanding without even delivering a promotional benefit. If you’re involved in writing or reviewing a press release for your research, keeping the language precise is one of the highest-leverage things you can do for accurate public understanding.
Move Beyond the Deficit Model
For a long time, the default assumption in science communication was that public skepticism or disengagement stemmed from a knowledge gap. If people just understood the science better, the thinking went, they would accept the conclusions. This “deficit model” has been largely abandoned by communication researchers. The evidence shows that simply dumping more information on people does not reliably change their attitudes, and it can even backfire when the information conflicts with deeply held values or identities.
The shift has been toward what researchers call dialogue-based approaches, where communication is two-directional. Instead of lecturing the public, scientists listen to concerns, acknowledge the values and experiences audiences bring, and work toward mutual understanding. This does not mean treating all opinions as equally valid; it means recognizing that people’s relationship with science is shaped by trust, identity, and lived experience, not just information.
Public engagement experts now advocate for goals beyond just improving science literacy or persuading people to accept a particular conclusion. The aim is fostering open-minded exchange between scientists and the communities their work affects. For individual researchers explaining their papers, the practical takeaway is that a willingness to listen and respond to questions, even uncomfortable ones, makes the communication more effective than a polished one-way presentation.
Prebunking Misinformation
When scientific findings enter public discourse, they inevitably encounter misinformation. Correcting false claims after they’ve spread is possible but difficult. A more effective approach, supported by a growing body of evidence, is prebunking: pre-exposing people to weakened examples of manipulation techniques so they can recognize and resist them when encountered in the wild.
A series of randomized studies, including a field experiment on YouTube involving over 22,000 participants, found that short inoculation videos improved people’s ability to recognize manipulation techniques, boosted their confidence in spotting unreliable content, and improved the quality of their sharing decisions on social media. These effects held across the political spectrum.
A meta-analysis using signal detection methods confirmed that both gamified and video-based inoculation interventions consistently improved people’s ability to distinguish reliable from unreliable news without making them uniformly more skeptical. In other words, prebunking helps people get better at telling good information from bad rather than just making them distrust everything. For scientists communicating findings in contested areas, this research suggests that spending a moment explaining common manipulation tactics alongside the actual findings can help audiences process the information more critically when they later encounter distorted versions of it.
Why More Scientists Don’t Do This
Given that researchers generally support the idea of communicating with the public, you might wonder why so much science communication is still done poorly or not at all. The answer is largely institutional. Scientists report that a lack of institutional support and limited confidence in their own communication skills constrain their public engagement efforts.
The promotion and tenure system in academia makes this worse. Research on faculty experiences with public engagement finds that while departments may nominally value outreach, it is rarely treated as a serious component of professional evaluation. Tenure guidelines and expectations effectively discourage junior faculty from investing time in public communication, reserving it as something only tenured faculty can afford to do. This creates a situation where the researchers with the most current expertise and the most energy are precisely the ones with the least institutional permission to communicate their work broadly.
Some institutions are beginning to change. Training programs in science communication have expanded at many universities, and a few promotion frameworks now explicitly credit public engagement. But the culture shift is slow, and for now, many scientists who want to explain their work to the public do so on their own time and at some professional risk.
Language Barriers in Global Science
Most discussion of science communication assumes the audience and the researcher share a language, typically English. In practice, language barriers have serious consequences for who can access scientific findings and whose knowledge gets incorporated into the global research conversation. Non-English-language research often remains invisible to English-speaking scientists and policymakers, and communities that do not speak English are cut off from findings that could affect their health, environment, and livelihoods.
Practical steps for addressing this include publishing plain-language summaries in multiple languages, collaborating with local science communicators who understand both the science and the cultural context, and acknowledging that translation is not just a linguistic exercise but a cultural one. A finding about agricultural practices needs to be communicated differently to farmers in Iowa than to farmers in Senegal, not just translated but recontextualized so the relevance is clear. For researchers working on global problems, language access is not an afterthought; it is a core part of whether the science actually reaches the people it is meant to serve.
Testing Your Communication Before It Ships
One step that researchers often skip is testing their communication with actual members of the target audience before releasing it. Focus groups remain a useful method for this: sitting down with a handful of people who represent your intended audience and walking through your explanation can reveal assumptions you didn’t know you were making, jargon you didn’t realize was jargon, and framing that triggers reactions you didn’t anticipate.
Research on focus groups in health communication contexts confirms their value for tailoring materials to specific audiences, while also cautioning that treating the focus group as a simple “transmission check” misses much of what you can learn. Participants don’t just tell you whether they understood the words; they reveal how the information fits into their existing beliefs, what emotional responses it triggers, and what questions it raises that you hadn’t considered. Treating audience testing as a genuine conversation rather than a comprehension quiz produces better communication materials and often reveals blind spots that no amount of internal editing would catch.
Even informal testing helps. Reading your explanation to a friend outside your field, posting a draft on social media and watching the responses, or presenting at a community event before writing the final version all serve the same function: they close the gap between what you think you said and what people actually heard.